Inside LLM Inference: When the KV Cache Overflows
A technical deep dive into how LLMs manage memory during inference, what happens when the KV cache exceeds GPU limits, and the strategies engineers use to keep long-context generation viable.
A technical deep dive into how LLMs manage memory during inference, what happens when the KV cache exceeds GPU limits, and the strategies engineers use to keep long-context generation viable.
Mimi is a low-bitrate neural audio codec designed to tokenize speech for large language models, enabling real-time speech generation and the next wave of voice AI systems like Moshi.
Researchers are fighting fire with fire: generating synthetic deepfakes at scale to train more robust detection models capable of keeping pace with rapidly evolving generative AI threats.
Canva's major AI 2.0 update introduces prompt-based editing across its design platform, bringing generative AI image and video tools to over 200 million users in a bid to reshape creative workflows.
MIT Technology Review examines why meaningful human oversight of autonomous AI weapons systems may be impossible, as machine-speed decision cycles outpace human cognition and create only the illusion of control.
UCSD and Together AI introduce Parcae, a stable looped transformer architecture that achieves the quality of models twice its size, potentially reshaping how efficient AI systems are built and deployed.
New research reveals a troubling disconnect in large language models: they can produce logically valid reasoning chains yet arrive at incorrect final answers, raising questions about AI reliability and trust.
A new research paper proposes bi-predictability as a real-time signal for detecting compromised or manipulated LLM interactions, offering a lightweight approach to monitoring conversational integrity without access to model internals.
Real-time deepfakes and voice cloning are turning video conferencing into a new attack surface. Here's how AI-powered impersonation exploits trust in virtual meetings and what security gaps remain.
Adobe is integrating Claude Code-style agentic AI into Creative Cloud, enabling AI-driven creative workflows that could reshape how professionals produce and manipulate visual media at scale.
A deep dive into context engineering techniques for AI agents, exploring how LLM summarization, token masking, and memory systems help manage the context window to build more capable AI systems.
From single-agent loops to multi-agent orchestration, a comprehensive overview of every major AI agent architecture pattern driving autonomous systems today.